Assimilation of Seasonal Moisture Variability in North America and Asia for the Last Millennium

The seasonal tree-ring chronologies that recorded discrete moisture signal for warm and cool season have been used to reconstruct the North America Seasonal Precipitation Atlas (NASPA) by the point-by-point regression method, and the results indicated that they can fairly reproduce the seasonal prec...

Full description

Bibliographic Details
Main Author: Liu, Chang
Format: Text
Language:unknown
Published: ScholarWorks@UARK 2021
Subjects:
Online Access:https://scholarworks.uark.edu/etd/4215
https://scholarworks.uark.edu/context/etd/article/5765/viewcontent/Liu_uark_0011A_14461.pdf
id ftunivarkansas:oai:scholarworks.uark.edu:etd-5765
record_format openpolar
spelling ftunivarkansas:oai:scholarworks.uark.edu:etd-5765 2023-11-12T04:22:47+01:00 Assimilation of Seasonal Moisture Variability in North America and Asia for the Last Millennium Liu, Chang 2021-07-01T07:00:00Z application/pdf https://scholarworks.uark.edu/etd/4215 https://scholarworks.uark.edu/context/etd/article/5765/viewcontent/Liu_uark_0011A_14461.pdf unknown ScholarWorks@UARK https://scholarworks.uark.edu/etd/4215 https://scholarworks.uark.edu/context/etd/article/5765/viewcontent/Liu_uark_0011A_14461.pdf Graduate Theses and Dissertations seasonal droughts pluvials moisture variations climate variations Paleoclimate Data Assimilation (PDA) seasonal moisture reconstruction seasonal tree rings Atmospheric Sciences Climate Environmental Indicators and Impact Assessment Environmental Monitoring Environmental Studies text 2021 ftunivarkansas 2023-10-30T09:52:43Z The seasonal tree-ring chronologies that recorded discrete moisture signal for warm and cool season have been used to reconstruct the North America Seasonal Precipitation Atlas (NASPA) by the point-by-point regression method, and the results indicated that they can fairly reproduce the seasonal precipitation variability in the past. Compared with reconstructions using only paleoclimate proxy data, the paleoclimate data assimilation (PDA) considers both proxy data and climate model output, so the PDA reconstructions are consistent with both the climate signals reflected by the proxy data and the physical mechanisms represented by climate models. Based on the tree rings with discrete seasonal signals, this doctoral research reconstructed the physically and dynamically consistent seasonal moisture over North America (NASM) in the last millennium using PDA method. Additionally, the global SST and 500 hPa geopotential height were also reconstructed using PDA. The validation of various instrumental data shows that the reconstruction skill of NASM is slightly better than the proxy-based reconstruction over most areas except the Western United States. NASM is subsequently used to investigate the seasonal, spatial, and temporal variations of major drought and pluvial events in North America as well as their causal mechanisms. The spatial and temporal characteristic of moisture variations and hydroclimatic extremes are notably different in warm and cool season, indicating that the seasonality is an important component of hydroclimatic variability behind dryness and wetness regimes in North America. Seasonal precipitation variability in North America during the last millennium was mainly affected by El Niño/Southern Oscillation (ENSO). In addition to ENSO, the North Atlantic Oscillation (NAO) and North Pacific SST also played important roles on the warm and cool season precipitation, respectively. The PDA method was also adopted to reconstruct warm season moisture in Asia (WSMA). The inclusion of Chinese historical ... Text North Atlantic North Atlantic oscillation University of Arkansas: ScholarWorks@UARK Pacific
institution Open Polar
collection University of Arkansas: ScholarWorks@UARK
op_collection_id ftunivarkansas
language unknown
topic seasonal droughts
pluvials
moisture variations
climate variations
Paleoclimate Data Assimilation (PDA)
seasonal moisture reconstruction
seasonal tree rings
Atmospheric Sciences
Climate
Environmental Indicators and Impact Assessment
Environmental Monitoring
Environmental Studies
spellingShingle seasonal droughts
pluvials
moisture variations
climate variations
Paleoclimate Data Assimilation (PDA)
seasonal moisture reconstruction
seasonal tree rings
Atmospheric Sciences
Climate
Environmental Indicators and Impact Assessment
Environmental Monitoring
Environmental Studies
Liu, Chang
Assimilation of Seasonal Moisture Variability in North America and Asia for the Last Millennium
topic_facet seasonal droughts
pluvials
moisture variations
climate variations
Paleoclimate Data Assimilation (PDA)
seasonal moisture reconstruction
seasonal tree rings
Atmospheric Sciences
Climate
Environmental Indicators and Impact Assessment
Environmental Monitoring
Environmental Studies
description The seasonal tree-ring chronologies that recorded discrete moisture signal for warm and cool season have been used to reconstruct the North America Seasonal Precipitation Atlas (NASPA) by the point-by-point regression method, and the results indicated that they can fairly reproduce the seasonal precipitation variability in the past. Compared with reconstructions using only paleoclimate proxy data, the paleoclimate data assimilation (PDA) considers both proxy data and climate model output, so the PDA reconstructions are consistent with both the climate signals reflected by the proxy data and the physical mechanisms represented by climate models. Based on the tree rings with discrete seasonal signals, this doctoral research reconstructed the physically and dynamically consistent seasonal moisture over North America (NASM) in the last millennium using PDA method. Additionally, the global SST and 500 hPa geopotential height were also reconstructed using PDA. The validation of various instrumental data shows that the reconstruction skill of NASM is slightly better than the proxy-based reconstruction over most areas except the Western United States. NASM is subsequently used to investigate the seasonal, spatial, and temporal variations of major drought and pluvial events in North America as well as their causal mechanisms. The spatial and temporal characteristic of moisture variations and hydroclimatic extremes are notably different in warm and cool season, indicating that the seasonality is an important component of hydroclimatic variability behind dryness and wetness regimes in North America. Seasonal precipitation variability in North America during the last millennium was mainly affected by El Niño/Southern Oscillation (ENSO). In addition to ENSO, the North Atlantic Oscillation (NAO) and North Pacific SST also played important roles on the warm and cool season precipitation, respectively. The PDA method was also adopted to reconstruct warm season moisture in Asia (WSMA). The inclusion of Chinese historical ...
format Text
author Liu, Chang
author_facet Liu, Chang
author_sort Liu, Chang
title Assimilation of Seasonal Moisture Variability in North America and Asia for the Last Millennium
title_short Assimilation of Seasonal Moisture Variability in North America and Asia for the Last Millennium
title_full Assimilation of Seasonal Moisture Variability in North America and Asia for the Last Millennium
title_fullStr Assimilation of Seasonal Moisture Variability in North America and Asia for the Last Millennium
title_full_unstemmed Assimilation of Seasonal Moisture Variability in North America and Asia for the Last Millennium
title_sort assimilation of seasonal moisture variability in north america and asia for the last millennium
publisher ScholarWorks@UARK
publishDate 2021
url https://scholarworks.uark.edu/etd/4215
https://scholarworks.uark.edu/context/etd/article/5765/viewcontent/Liu_uark_0011A_14461.pdf
geographic Pacific
geographic_facet Pacific
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Graduate Theses and Dissertations
op_relation https://scholarworks.uark.edu/etd/4215
https://scholarworks.uark.edu/context/etd/article/5765/viewcontent/Liu_uark_0011A_14461.pdf
_version_ 1782337733442666496